Optimize Oil Field Simulation Measures through Multi-Factor Comprehensive Evaluation Method Based on Fuzzy Mathematics and Grey Correlation

Abstract:

This paper adopts the multi-factor comprehensive evaluation method combining fuzzy mathematics and gray relational analysis to conduct oil field stimulation measures optimization. It overcomes the one-sidedness of the man-made assignment through the replacing correlation of ray correlation analysis with weight set of fuzzy comprehensive evaluation. The paper first analyzed the factors that affect the oil field stimulation measures, and then created a multi-factor comprehensive evaluation theoretical model, finally based on the instance to evaluate the model. The results show that the method is feasible and has high application value.

• Periodical: Advanced Materials Research (Volumes 524-527)
• Pages: 1503-1506
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.524-527.1503
• Online since: May 2012
• Authors: Zhi Kun Liu, Qi Li, Shao Xiang Zhang
• Keywords: Fuzzy Mathematics, Grey Relational Analysis (GRA), Multi-Factor Comprehensive Evaluation Method, Oil Field Stimulation Measures

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